Wir sind Bertrandt. Ein eigenständiger und internationaler
Engineering Dienstleister mit langjähriger Expertise. Mit
branchenübergreifendem Know-how und einem ganzheitlichen System- und
Produktverständnis schaffen wir technologische Lösungen entlang der
gesamten Wertschöpfungskette. Wir beschäftigen uns mit den
Trendthemen Digitalisierung, E-Mobilität und Autonome Systeme
hauptsächlich für die Branchen Automotive, Luftfahrt, Defence und
Maschinenbau und ermöglichen hier konsequent die Entstehung
passgenauer Lösungen. Unser Ziel: den technologischen Fortschritt
beschleunigen und einen relevanten Beitrag zu einer nachhaltigen
Zukunft leisten. Daran arbeiten wir jeden Tag – mit rund 12.000
Mitarbeiterinnen und Mitarbeitern an über 50 Standorten weltweit. Was
Sie erwartet: Data Engineering & Data Modeling Design, develop, and
maintain scalable data models in Snowflake Build and optimize complex
SQL transformations using dbt Develop robust ELT pipelines to ingest,
harmonize, and enrich SAP procurement data Create reusable semantic
and reporting layers for analytics and AI consumption Implement data
quality frameworks, validation rules, and reconciliation processes
Translate business requirements into efficient and scalable technical
solutions SAP Procurement Data Expertise Analyze and model procurement
processes based on SAP MM data structures Develop extraction and
transformation logic across key SAP procurement entities Ensure
accurate interpretation of sourcing, purchasing, contract, vendor,
material, and purchasing organization data Support migration and
harmonization initiatives across SAP ERP and S/4HANA landscapes
Collaborate closely with procurement subject matter experts to ensure
technical and functional data integrity SQL Development & Performance
Optimization Develop complex SQL queries, procedures, and
transformation logic Analyze execution plans and resolve performance
bottlenecks Optimize data models, joins, clustering strategies, and
Snowflake warehouse utilization Improve runtime performance of data
pipelines and reporting workloads Establish and promote best practices
for scalable Snowflake development Data Delivery for AI Solutions
Deliver high-quality, AI-ready datasets for backend AI services Define
interfaces and data contracts with AI Backend Engineers Support
feature engineering and data preparation activities Ensure
completeness, consistency, and traceability of datasets used by AI
applications Collaborate on retrieval, enrichment, and contextual data
services enabling Agentic AI solutions Data Governance & Quality
Implement monitoring solutions and proactive quality controls Design
validation frameworks for master and transactional data Support
auditability, data lineage, and governance requirements Ensure
compliance with internal security, governance, and data management
standards Document data models, transformation logic, and business
rules Collaboration & Technical Leadership Work closely with AI
Backend Engineers, Procurement Business Analysts, Product Owners, and
Cloud Engineers Provide technical guidance and mentoring to junior
engineers Participate in architecture reviews and solution design
discussions Drive engineering excellence and continuous improvement
initiatives Support incident resolution, root cause analysis, and
operational excellence activities Was Sie mitbringen: Education
Bachelor's or Master's degree in Computer Science, Data Engineering,
Information Systems, Mathematics, Engineering, or a related field
Professional Experience 8+ years of experience in Data Engineering,
Data Warehousing, or related disciplines Proven experience working
with enterprise-scale procurement, supply chain, or ERP data
Experience supporting business-critical analytics and data platforms
Technical Skills Data Platforms & Engineering Expert-level experience
with Snowflake Strong hands-on experience with dbt Expert-level SQL
development skills Deep understanding of Data Warehouse architecture
and dimensional modeling Experience with ELT/ETL frameworks and modern
data engineering practices SAP Procurement Knowledge Strong
understanding of SAP MM processes and data structures, including:
Purchase Requisitions Purchase Orders Contracts Purchase Info Records
(PIRs) Source Lists Quota Arrangements Materials Vendors Pricing
Conditions Purchasing Organizations Performance Engineering SQL
performance tuning Query optimization Data model optimization Workload
analysis Snowflake warehouse performance management Cost optimization
Data Quality & Governance Data validation frameworks Reconciliation
processes Metadata management Data lineage Root cause analysis
Preferred Qualifications Python Snowpark Git / GitLab CI/CD pipelines
REST APIs AWS or Azure cloud platforms Power BI, Qlik, or similar
analytics and reporting tools Personal Skills Strong analytical and
problem-solving mindset Ability to work independently and challenge
existing designs constructively Structured, proactive, and
solution-oriented approach Excellent communication and stakeholder
management skills Passion for modern data technologies and continuous
improvement Comfortable working in international, cross-functional
teams Language Skills Fluent English (mandatory) German skills are
considered an advantage Im Rahmen der Arbeitnehmerüberlassung suchen
wir für einen namhaften Kunden einen erfahrenen Senior Data Engineer
(m/w/d). Sie entwickeln skalierbare Datenmodelle und ELT-Pipelines in
Snowflake, optimieren komplexe SQL- und dbt-Transformationen und
stellen hochwertige Procurement-Daten für Analytics- und
KI-Anwendungen bereit. Dabei arbeiten Sie eng mit Data-, AI- und
Procurement-Experten zusammen und treiben die Weiterentwicklung
moderner datengetriebener Lösungen aktiv voran. Was Sie mitbringen:
Education Bachelor's or Master's degree in Computer Science, Data
Engineering, Information Systems, Mathematics, Engineering, or a
related field Professional Experience 8+ years of experience in D